diff options
| author | AUTOMATIC1111 <16777216c@gmail.com> | 2023-12-16 06:58:07 +0000 |
|---|---|---|
| committer | AUTOMATIC1111 <16777216c@gmail.com> | 2023-12-16 06:58:07 +0000 |
| commit | cf2772fab0af5573da775e7437e6acdca424f26e (patch) | |
| tree | 2ad13a0cf77bc189a8c9097bd507f9674f993da6 /configs/alt-diffusion-m18-inference.yaml | |
| parent | 4afaaf8a020c1df457bcf7250cb1c7f609699fa7 (diff) | |
| parent | 0dfffe53ec11b2ee097d55efc479f8e707015db9 (diff) | |
| download | stable-diffusion-webui-gfx803-cf2772fab0af5573da775e7437e6acdca424f26e.tar.gz stable-diffusion-webui-gfx803-cf2772fab0af5573da775e7437e6acdca424f26e.tar.bz2 stable-diffusion-webui-gfx803-cf2772fab0af5573da775e7437e6acdca424f26e.zip | |
Merge branch 'release_candidate'
Diffstat (limited to 'configs/alt-diffusion-m18-inference.yaml')
| -rw-r--r-- | configs/alt-diffusion-m18-inference.yaml | 73 |
1 files changed, 73 insertions, 0 deletions
diff --git a/configs/alt-diffusion-m18-inference.yaml b/configs/alt-diffusion-m18-inference.yaml new file mode 100644 index 00000000..41a031d5 --- /dev/null +++ b/configs/alt-diffusion-m18-inference.yaml @@ -0,0 +1,73 @@ +model: + base_learning_rate: 1.0e-04 + target: ldm.models.diffusion.ddpm.LatentDiffusion + params: + linear_start: 0.00085 + linear_end: 0.0120 + num_timesteps_cond: 1 + log_every_t: 200 + timesteps: 1000 + first_stage_key: "jpg" + cond_stage_key: "txt" + image_size: 64 + channels: 4 + cond_stage_trainable: false # Note: different from the one we trained before + conditioning_key: crossattn + monitor: val/loss_simple_ema + scale_factor: 0.18215 + use_ema: False + + scheduler_config: # 10000 warmup steps + target: ldm.lr_scheduler.LambdaLinearScheduler + params: + warm_up_steps: [ 10000 ] + cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases + f_start: [ 1.e-6 ] + f_max: [ 1. ] + f_min: [ 1. ] + + unet_config: + target: ldm.modules.diffusionmodules.openaimodel.UNetModel + params: + image_size: 32 # unused + in_channels: 4 + out_channels: 4 + model_channels: 320 + attention_resolutions: [ 4, 2, 1 ] + num_res_blocks: 2 + channel_mult: [ 1, 2, 4, 4 ] + num_head_channels: 64 + use_spatial_transformer: True + use_linear_in_transformer: True + transformer_depth: 1 + context_dim: 1024 + use_checkpoint: True + legacy: False + + first_stage_config: + target: ldm.models.autoencoder.AutoencoderKL + params: + embed_dim: 4 + monitor: val/rec_loss + ddconfig: + double_z: true + z_channels: 4 + resolution: 256 + in_channels: 3 + out_ch: 3 + ch: 128 + ch_mult: + - 1 + - 2 + - 4 + - 4 + num_res_blocks: 2 + attn_resolutions: [] + dropout: 0.0 + lossconfig: + target: torch.nn.Identity + + cond_stage_config: + target: modules.xlmr_m18.BertSeriesModelWithTransformation + params: + name: "XLMR-Large" |